Learning AI, PyTorch and How to Program with Github Copilot, but I HATE Python!
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Being a professional programmer is all about learning new things and keeping up with the changes in technology. Periodically, you have to stop and look around and decide what to learn next. I've been through a dozen or so phases of my career so far, and at present, I've decided to learn more about PyTorch and LLMs. In this video, I'll explain why, what resources I'm using, how having a coding LLM copilot changes the process, how advice I got decades ago makes working with Github CoPilot much more efficient, and thoughts on the future of programming languages. Also some thoughts on how web searching is changing for me (much to the better), how that's impacting my thinking on AI (with help from Steve Jobs) and initial impressions of ChatGPT-4o. 00:00 Introduction 02:36 Various tech I've used (much abandoned) 06:22 How I've decided what to study 07:07 Recommendations here not for working on existing codebases 07:41 Advice I got on being interruptible vs "In the Zone" 10:04 "Literate Programming" is a more formal way of doing it 10:45 Literate Programming technique is perfect for working with CoPilot 11:16 Clarification - this is NOT sponsored - just stuff I really use 11:42 Pros and Cons of using CoPilot/LLM/AI to help you code 14:32 Choice of Programming languages (or lack thereof) 16:32 Programming Languages are tools - don't get attached 16:57 Soon, I expect languages to matter much less 17:56 Resources I'm using to learn PyTorch/LLMs 18:49 How I recommend learning a new language/framework 21:09 My current side project (if you care) 22:28 Coursera course on Machine Learning 22:33 YouTube Channels I'm learning a lot from: 22:43 @3blue1brown 22:58 @AndrejKarpathy 23:14 @borismeinardus 23:46 @ArtemKirsanov 24:06 @MachineLearningStreetTalk 24:34 @Computerphile and @davidbombal (for Dr Mike Pound) 24:55 New Web "Search" with perplexity.ai (not sponsored - I just like it) 25:34 Changing my mindset on Search Agents vs Search Engines 26:17 First impressions of ChatGPT-4o 26:26 ChatGPT-4o vs Perplexity.ai 26:36 ChatGPT-4o multimodal (disappointing, but at least it's fast) 27:45 Wrap up Links to resources from video: # interruptible programmer https://www.stevestreeting.com/2010/09/04/work-2-0/ # Literate Programming https://thenewstack.io/why-literate-programming-might-help-you-write-better-code/ https://blog.bitsrc.io/literate-programming-a-radical-approach-to-writing-code-with-documentation-ebb5dc892cd7 http://web.stanford.edu/group/cslipublications/cslipublications/site/0937073806.shtml https://programminghistorian.org/en/lessons/jupyter-notebooks#literate-computing # Sprint Internet Project I was on (If you're curious) https://archive.org/details/SprintInternetPassport https://www.adweek.com/brand-marketing/iq-news-sprint-internet-passport-aim-high-end-users-internet-access-race-41121/ https://corporate.findlaw.com/contracts/corporate/governance-agreement-sprint-corp-and-earthlink-network-inc.html # Coursera course I'm taking https://www.coursera.org/specializations/machine-learning-introduction # Youtuber resources # 3Blue1Brown Neural Nets https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi # Great channels with learning about LLMs/AI content: https://www.youtube.com/@UCXUPKJO5MZQN11PqgIvyuvQ https://www.youtube.com/@borismeinardus https://www.youtube.com/@ArtemKirsanov https://youtu.be/hmtQPrH-gC4 # Comment on my channel where I learned about Artem Kirsanov: https://www.youtube.com/watch?v=nkdZRBFtqSs&lc=UgxOLJUBIRuLIsC2bB94AaABAg.A368v-3D9ivA3I7kWnSgPj # Machine Learning Street Talk interview with Deep Learning Expert: https://www.youtube.com/watch?v=sJXn4Cl4oww # Comment on my channel where I learned about this Machine Learning Street Talk video: https://www.youtube.com/watch?v=UqYSaAuKwjU&lc=UgyLF2aBOdwUXgcc3CN4AaABAg # Videos from Dr Mike Pound - on two different channels he frequents https://www.youtube.com/watch?v=dDUC-LqVrPU https://www.youtube.com/watch?v=x1TqLcz_ug0 # Search tool I've been using lately (not sponsored): https://www.perplexity.ai/ # Source for Steve Jobs Quote https://youtu.be/ptXJjI-l2mk?t=710
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